diplomsko delo
Abstract
V okviru diplomskega dela smo uporabili metode strojnega učenja in ustvarili aplikacijo, ki iz opisa družbene prireditve ali dogodka določi njeno kategorijo. Na spletu smo našli podatke prireditev, jih ustrezno pripravili in z njimi zgradili model. Naučen model deluje tako, da za vhod dobi opis dogodka in vrne kategorijo vnesenega dogodka. Izdelali smo še spletno aplikacijo, ki služi kot uporabniški vmesnik za klic modela. Aplikacija je javno dostopna za uporabo na spletu.
Keywords
kategorije;dogodek;tekstovno rudarjenje;visokošolski strokovni študij;diplomske naloge;
Data
Language: |
Slovenian |
Year of publishing: |
2022 |
Typology: |
2.11 - Undergraduate Thesis |
Organization: |
UL FRI - Faculty of Computer and Information Science |
Publisher: |
[T. Ličen] |
UDC: |
004.8:394.49(043.2) |
COBISS: |
100664067
|
Views: |
166 |
Downloads: |
19 |
Average score: |
0 (0 votes) |
Metadata: |
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Other data
Secondary language: |
English |
Secondary title: |
Classification of social events based on their descriptions |
Secondary abstract: |
In our diploma thesis, we decided to use machine learning to create an application that determines the category of a social event from its description. We used event data that we found online, prepared it properly, and used it to build a model. Learned model gets a description of an event as the input, calculates, and returns the category of the entered event. We have also created an application that serves as a user interface for accessing the model. The application is publicly available online. |
Secondary keywords: |
categories;event;machine learning;data mining;text mining;computer science;diploma;Predstave, prireditve ipd.;Strojno učenje;Spletne aplikacije;Podatkovno rudarjenje;Računalništvo;Univerzitetna in visokošolska dela; |
Type (COBISS): |
Bachelor thesis/paper |
Study programme: |
1000470 |
Embargo end date (OpenAIRE): |
1970-01-01 |
Thesis comment: |
Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Pages: |
57 str. |
ID: |
14712359 |